Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight

KESKİN, Ulku Sultan; Yildizel, Sadik Alper; Calis, Gokhan

Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight

GÖKHAN ÇALIŞ, (İnşaat Mühendisliği Bölümü, Karamanoğlu Mehmetbey Üniversitesi, Karaman, Türkiye)

SADIK ALPER YILDIZEL, (İnşaat Mühendisliği Bölümü, Karamanoğlu Mehmetbey Üniversitesi, Karaman, Türkiye)

Ulku Sultan KESKİN (İnşaat Mühendisliği Bölümü, Konya Teknik Üniversitesi, Konya, Türkiye)

Challenge Journal of Concrete Research Letters

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Yıl: 2021 Cilt: 12 Sayı: 1 Sayfa Aralığı: 12 - 19 Metin Dili: İngilizce İndeks Tarihi: 11-05-2021

Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight

Öz:

Concrete is known as one of the fundamental materials in construction with its high amount of use. Lightweight concrete (LWC) can be a good alternative in reducing the environmental effect of concrete by decreasing the self-weight and dimensions of the structure. In order to reduce self-weight of concrete artificial aggregates, some of which are produced from waste materials, are utilized, and it also contributes to develop a sustainable material Artificial neural networks have been the focus of many scholars for long time with the purpose of analyzing and predicting the lightweight concrete compressive and flexural strengths. The artificial neural network is more powerful method in terms of providing explanation and prediction in engineering studies. It is proved that the error rate of ANN is smaller than regression method. Furthermore, ANN has superior performance over nonlinear regression model. In this paper, an ANN based system is proposed in order to provide a better understanding of basalt fiber reinforced lightweight concrete. In the regression analysis predicted vs. experimental flexural strength, R-sqr is determined to be 86%. The most important strength contributing factors were analyzed within the scope of this study.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	Calis G, Yildizel S, KESKİN U (2021). Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. , 12 - 19.
Chicago	Calis Gokhan,Yildizel Sadik Alper,KESKİN Ulku Sultan Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. (2021): 12 - 19.
MLA	Calis Gokhan,Yildizel Sadik Alper,KESKİN Ulku Sultan Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. , 2021, ss.12 - 19.
AMA	Calis G,Yildizel S,KESKİN U Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. . 2021; 12 - 19.
Vancouver	Calis G,Yildizel S,KESKİN U Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. . 2021; 12 - 19.
IEEE	Calis G,Yildizel S,KESKİN U "Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight." , ss.12 - 19, 2021.
ISNAD	Calis, Gokhan vd. "Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight". (2021), 12-19.

APA	Calis G, Yildizel S, KESKİN U (2021). Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. Challenge Journal of Concrete Research Letters, 12(1), 12 - 19.
Chicago	Calis Gokhan,Yildizel Sadik Alper,KESKİN Ulku Sultan Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. Challenge Journal of Concrete Research Letters 12, no.1 (2021): 12 - 19.
MLA	Calis Gokhan,Yildizel Sadik Alper,KESKİN Ulku Sultan Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. Challenge Journal of Concrete Research Letters, vol.12, no.1, 2021, ss.12 - 19.
AMA	Calis G,Yildizel S,KESKİN U Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. Challenge Journal of Concrete Research Letters. 2021; 12(1): 12 - 19.
Vancouver	Calis G,Yildizel S,KESKİN U Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight. Challenge Journal of Concrete Research Letters. 2021; 12(1): 12 - 19.
IEEE	Calis G,Yildizel S,KESKİN U "Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight." Challenge Journal of Concrete Research Letters, 12, ss.12 - 19, 2021.
ISNAD	Calis, Gokhan vd. "Application of an artificial neural network for predictingcompressive and flexural strength of basalt fiber added lightweight". Challenge Journal of Concrete Research Letters 12/1 (2021), 12-19.